Flying wing unmanned aerial vehicle ground station interaction device and method based on human body posture recognition

Abstract

The invention discloses a flying wing unmanned aerial vehicle ground station interaction device and method based on human body posture recognition. The method comprises the following steps of by collecting control actions of a human body object on a ground station, sequentially inputting control action into an object detection network model and an image recognition network model and inputting positions of a human object; finally, converting the posture into a control instruction to control a drone. Compared with a traditional interaction mode, an operator gets rid of the constraint of a remotecontrol device due to the interaction mode of human body posture recognition such as a mouse, a keyboard and a remote controller. The advantage of direct perception is achieved, understanding is easy, operation is convenient, daily habits are better met, the technology is introduced into control over the flying wing unmanned aerial vehicle, and the unmanned aerial vehicle can be controlled more conveniently and efficiently through the human body posture.

Description

technical field [0001] The invention belongs to the field of UAV interaction, and in particular relates to a flying-wing UAV ground station interaction device and method based on human body posture recognition. Background technique [0002] Human-computer interaction is a new type of intelligent technology that emerges and continues to develop with the advancement of computer technology, and has broad application prospects in the field of information processing. In recent years, with the development of artificial intelligence technology and the continuous progress and innovation of related software and hardware technologies, realizing more convenient and natural human-computer interaction has become a research hotspot. [0003] Most of the traditional interactive methods of flying-wing drones use remote control devices to control the flight attitude of drones. This control method is relatively cumbersome to operate. Even when completing simple tasks, it is necessary to fully...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the problems of poor convenience and high price of existing UAV control devices, the present invention provides a flying-wing UAV ground station interaction device and method based on human body posture recognition, which adopts the deep learning algorithm of convolutional neural network to perform posture Recognition, calculate the object attitude into control commands and then control the flight of the UAV, so as to realize the efficient human-computer interaction of the UAV

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